432 research outputs found

    Different Perspectives of Psychiatry Within Two Neighboring Residency Training Programs

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    This paper arises out of my fortunate opportunity to observe two very different psychiatric residency training programs. While a fourth-year resident at a large, psycho dynamically-oriented private psychiatric hospital, I was able to do a consultation liaison rotation at a neighboring academic institution at the vanguard of biological psychiatry. I left the familiar, we ll-manicured suburban grounds for the inner city of Baltimore to be one of the first experiments in cross-fertilization between these residency training programs. Although the two institutions are located in the same city and stem from the early history of American psychiatry, they have been worlds apart in their approach. The hospitals have distinct development histories. The private hospital was originally founded by a philanthropic Quaker, Moses Sheppard, before the Civil War. He wished to provide a humane asylum for treatment of the mentally disturbed. In the context of the en lightened ideas of Pineal and The Moral Treatment, he believed that separating the patients from chaotic family and social influences and providing a respectful and humane environment would help restore sanity. Sheppard instructed that all cells for patients were to be above ground and have windows. Enoch Pratt, a successful businessman, later made a large contribution to what is now known as The Sheppard and Enoch Pratt Hospital. The academic center was established out of a growing interest in research, training, and in returning psychiatry to the field of medicine . Under the direction of Adolf Meyer in 19I3, the Henry Phipps Psychiatric Clinic at Johns Hopkins Hospital was founded. Many advances in psychosocial theory and biological research continue to be achieved at this internationally renowned medical center

    Utilization of a multimodal preoperative pain regimen prior to gynecologic oncology exploratory laparotomies

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    Objective: The aim of this study was to evaluate the use of a combination of non-opioid preoperative pain medications including Tylenol, Lyrica, and Celecoxib (TLC) in patients undergoing gynecologic oncologic exploratory laparotomies. We evaluated postoperative narcotic use in morphine equvalents (ME) as well as pain scores, anti-emetic use, and length of stay.https://jdc.jefferson.edu/patientsafetyposters/1055/thumbnail.jp

    DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks

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    In recent years numerous advanced malware, aka advanced persistent threats (APT) are allegedly developed by nation-states. The task of attributing an APT to a specific nation-state is extremely challenging for several reasons. Each nation-state has usually more than a single cyber unit that develops such advanced malware, rendering traditional authorship attribution algorithms useless. Furthermore, those APTs use state-of-the-art evasion techniques, making feature extraction challenging. Finally, the dataset of such available APTs is extremely small. In this paper we describe how deep neural networks (DNN) could be successfully employed for nation-state APT attribution. We use sandbox reports (recording the behavior of the APT when run dynamically) as raw input for the neural network, allowing the DNN to learn high level feature abstractions of the APTs itself. Using a test set of 1,000 Chinese and Russian developed APTs, we achieved an accuracy rate of 94.6%

    Microcystic, Elongated, and Fragmented (MELF) Pattern Invasion in Ovarian Endometrioid Carcinoma: Immunohistochemical Profile and Prognostic Implications

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    BACKGROUND •Microcystic, Elongated and Fragmented (MELF) is a well-recognized pattern of uterine endometrioid carcinoma (UEC) associated with lymphovascular space invasion and occult lymph node metastasis •MELF in UEC may be seen with Lynch Syndrome •MELF in UEC is hypothesized to be histologic evidence of an epithelial mesenchymal transition •MELF pattern invasion in ovarian endometrioid carcinoma (OEC) was first described at USCAP 2015 • Current study evaluates MELF in OEC for •Prognostic implications •Immunohistochemical (IHC) profile related to •Lynch Syndrome •Epithelial mesenchymal transition DESIGN •42 consecutive cases of OEC without concurrent UEC (1996-2014) evaluated by 2 pathologists •MELF defined as at least three glands fulfilling histologic criteria •32 cases had blocks available for staining •MLH1, PMS2, MSH2 and MSH6 for mismatch repair (MMR) protein expression •Graded as “retained” or “lost” •β-catenin, e-cadherin, CK19 and cyclin D1 for evidence of epithelial mesenchymal transition •Graded as “rare” (75% cells stain) •Retrospective chart review of clinical and demographic features and overall survival •Data analyzed using Fisher exact test analysis •Survival analyzed using Kaplan-Meier metho

    HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity

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    The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the ‘traditional’ set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality. This increase in the number of approaches to tackle the existence of functional (FC) or effective connectivity (EC) between two (or among many) neural networks, along with the mathematical complexity of the corresponding time series analysis tools, makes it desirable to arrange them into a unified-easy-to-use software package. The goal is to allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of these analysis methods from a single integrated toolbox. Here we present HERMES (http://hermes.ctb.upm.es), a toolbox for the Matlab® environment (The Mathworks, Inc), which is designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. We believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis

    Mechanisms of T cell organotropism

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    F.M.M.-B. is supported by the British Heart Foundation, the Medical Research Council of the UK and the Gates Foundation

    Abnormal resting-state cortical coupling in chronic tinnitus

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    Background:Subjective tinnitus is characterized by an auditory phantom perception in the absence of any physical sound source. Consequently, in a quiet environment, tinnitus patients differ from control participants because they constantly perceive a sound whereas controls do not. We hypothesized that this difference is expressed by differential activation of distributed cortical networks.Results:The analysis was based on a sample of 41 participants: 21 patients with chronic tinnitus and 20 healthy control participants. To investigate the architecture of these networks, we used phase locking analysis in the 1 90 Hz frequency range of a minute of resting-state MEG recording. We found: 1) For tinnitus patients: A significant decrease of inter-areal coupling in the alpha (9 12 Hz) band and an increase of inter-areal coupling in the 48 54 Hz gamma frequency range relative to the control group. 2) For both groups: an inverse relationship (r = -.71) of the alpha and gamma network coupling. 3) A discrimination of 83% between the patient and the control group based on the alpha and gamma networks. 4) An effect of manifestation on the distribution of the gamma network: In patients with a tinnitus history of less than 4 years, the left temporal cortex was predominant in the gamma network whereas in patients with tinnitus duration of more than 4 years, the gamma network was more widely distributed including more frontal and parietal regions.Conclusion:In the here presented data set we found strong support for an alteration of long-range coupling in tinnitus. Long-range coupling in the alpha frequency band was decreased for tinnitus patients while long-range gamma coupling was increased. These changes discriminate well between tinnitus and control participants. We propose a tinnitus model that integrates this finding in the current knowledge about tinnitus. Furthermore we discuss the impact of this finding to tinnitus therapies using Transcranial Magnetic Stimulation (TMS).publishe
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